---
_id: '46343'
abstract:
- lang: eng
  text: This paper addresses multimodality of multi-objective (MO) optimization landscapes.
    Contrary to common perception of local optima, according to which they are hindering
    the progress of optimization algorithms, it will be shown that local efficient
    sets in a multi-objective setting can assist optimizers in finding global efficient
    sets. We use sophisticated visualization techniques, which rely on gradient field
    heatmaps, to highlight those insights into landscape characteristics. Finally,
    the MO local optimizer MOGSA is introduced, which exploits those observations
    by sliding down the multi-objective gradient hill and moving along the local efficient
    sets.
author:
- first_name: Christian
  full_name: Grimme, Christian
  last_name: Grimme
- first_name: Pascal
  full_name: Kerschke, Pascal
  last_name: Kerschke
- first_name: Heike
  full_name: Trautmann, Heike
  id: '100740'
  last_name: Trautmann
  orcid: 0000-0002-9788-8282
citation:
  ama: 'Grimme C, Kerschke P, Trautmann H. Multimodality in Multi-Objective Optimization
    — More Boon than Bane? In: Deb K, Goodman E, Coello CCA, et al., eds. <i>Proceedings
    of the 10$^th$ International Conference on Evolutionary Multi-Criterion Optimization
    (EMO)</i>. Vol 11411. Lecture Notes in Computer Science. Springer; 2019:126–138.
    doi:<a href="https://doi.org/10.1007/978-3-030-12598-1_11">10.1007/978-3-030-12598-1_11</a>'
  apa: Grimme, C., Kerschke, P., &#38; Trautmann, H. (2019). Multimodality in Multi-Objective
    Optimization — More Boon than Bane? In K. Deb, E. Goodman, C. C. A. Coello, K.
    Klamroth, K. Miettinen, S. Mostaghim, &#38; P. Reed (Eds.), <i>Proceedings of
    the 10$^th$ International Conference on Evolutionary Multi-Criterion Optimization
    (EMO)</i> (Vol. 11411, pp. 126–138). Springer. <a href="https://doi.org/10.1007/978-3-030-12598-1_11">https://doi.org/10.1007/978-3-030-12598-1_11</a>
  bibtex: '@inproceedings{Grimme_Kerschke_Trautmann_2019, place={East Lansing, MI,
    USA}, series={Lecture Notes in Computer Science}, title={Multimodality in Multi-Objective
    Optimization — More Boon than Bane?}, volume={11411}, DOI={<a href="https://doi.org/10.1007/978-3-030-12598-1_11">10.1007/978-3-030-12598-1_11</a>},
    booktitle={Proceedings of the 10$^th$ International Conference on Evolutionary
    Multi-Criterion Optimization (EMO)}, publisher={Springer}, author={Grimme, Christian
    and Kerschke, Pascal and Trautmann, Heike}, editor={Deb, Kalyanmoy and Goodman,
    Erik and Coello, Coello Carlos A. and Klamroth, Kathrin and Miettinen, Kaisa and
    Mostaghim, Sanaz and Reed, Patrick}, year={2019}, pages={126–138}, collection={Lecture
    Notes in Computer Science} }'
  chicago: 'Grimme, Christian, Pascal Kerschke, and Heike Trautmann. “Multimodality
    in Multi-Objective Optimization — More Boon than Bane?” In <i>Proceedings of the
    10$^th$ International Conference on Evolutionary Multi-Criterion Optimization
    (EMO)</i>, edited by Kalyanmoy Deb, Erik Goodman, Coello Carlos A. Coello, Kathrin
    Klamroth, Kaisa Miettinen, Sanaz Mostaghim, and Patrick Reed, 11411:126–138. Lecture
    Notes in Computer Science. East Lansing, MI, USA: Springer, 2019. <a href="https://doi.org/10.1007/978-3-030-12598-1_11">https://doi.org/10.1007/978-3-030-12598-1_11</a>.'
  ieee: 'C. Grimme, P. Kerschke, and H. Trautmann, “Multimodality in Multi-Objective
    Optimization — More Boon than Bane?,” in <i>Proceedings of the 10$^th$ International
    Conference on Evolutionary Multi-Criterion Optimization (EMO)</i>, 2019, vol.
    11411, pp. 126–138, doi: <a href="https://doi.org/10.1007/978-3-030-12598-1_11">10.1007/978-3-030-12598-1_11</a>.'
  mla: Grimme, Christian, et al. “Multimodality in Multi-Objective Optimization —
    More Boon than Bane?” <i>Proceedings of the 10$^th$ International Conference on
    Evolutionary Multi-Criterion Optimization (EMO)</i>, edited by Kalyanmoy Deb et
    al., vol. 11411, Springer, 2019, pp. 126–138, doi:<a href="https://doi.org/10.1007/978-3-030-12598-1_11">10.1007/978-3-030-12598-1_11</a>.
  short: 'C. Grimme, P. Kerschke, H. Trautmann, in: K. Deb, E. Goodman, C.C.A. Coello,
    K. Klamroth, K. Miettinen, S. Mostaghim, P. Reed (Eds.), Proceedings of the 10$^th$
    International Conference on Evolutionary Multi-Criterion Optimization (EMO), Springer,
    East Lansing, MI, USA, 2019, pp. 126–138.'
date_created: 2023-08-04T07:49:08Z
date_updated: 2023-10-16T13:31:03Z
department:
- _id: '34'
- _id: '819'
doi: 10.1007/978-3-030-12598-1_11
editor:
- first_name: Kalyanmoy
  full_name: Deb, Kalyanmoy
  last_name: Deb
- first_name: Erik
  full_name: Goodman, Erik
  last_name: Goodman
- first_name: Coello Carlos A.
  full_name: Coello, Coello Carlos A.
  last_name: Coello
- first_name: Kathrin
  full_name: Klamroth, Kathrin
  last_name: Klamroth
- first_name: Kaisa
  full_name: Miettinen, Kaisa
  last_name: Miettinen
- first_name: Sanaz
  full_name: Mostaghim, Sanaz
  last_name: Mostaghim
- first_name: Patrick
  full_name: Reed, Patrick
  last_name: Reed
intvolume: '     11411'
language:
- iso: eng
page: 126–138
place: East Lansing, MI, USA
publication: Proceedings of the 10$^th$ International Conference on Evolutionary Multi-Criterion
  Optimization (EMO)
publisher: Springer
series_title: Lecture Notes in Computer Science
status: public
title: Multimodality in Multi-Objective Optimization — More Boon than Bane?
type: conference
user_id: '15504'
volume: 11411
year: '2019'
...